Spatial Differentiation and Convergence of Agricultural Total Factor Carbon Productivity
Accurately assessing the performance of low-carbon agricultural development and identi-fying its spatiotemporal evolution characteristics and trends are essential for scientifically formulating low-carbon agricultural development policies and achieving harmonious progress between agricultural eco-nomic growth and ecological environment.Based on the SBM function and GML index,this study calcu-lates the agricultural total factor carbon productivity(ATFCP)of 269 cities in China from 1999 to 2021.Then,Dagum's Gini coefficient is used to characterize its spatial differentiation characteristics,and fi-nally,spatial panel mode is employed to test its convergence.The empirical results indicate that China's ATFCP an overall upward trend,primarily driven by technological progress.The regional differences in ATFCP have been expanding year by year,mainly due to inter-provincial differences(58.10%),folowed by hypervariable density(38.15%),with intra-provincial differences being the smallest at only 3.75%.There is no convergence in ATFCP,but absolute convergence and conditional convergence exist,along with spatial spillover effects.That is,the growth of the ATFCP in one area can accelerate the improve-ment of ATFCP in surrounding regions.This finding holds true even after robustness checks,such as ad-justing the sample period,changing time intervals and altering spatial weight matrices.
agricultural totalfactor carbon productivityGML indexGini coefficientconver-gencespatial panel model
万方数据
维普
